Inference-based extension activation

Information

  • Patent Grant
  • 8959425
  • Patent Number
    8,959,425
  • Date Filed
    Friday, December 9, 2011
    12 years ago
  • Date Issued
    Tuesday, February 17, 2015
    9 years ago
Abstract
Extension activation may be provided. A document may be opened within a software application associated with an extension. Upon determining that a data element associated with the document is associated with an activation condition of the extension, the extension may be activated.
Description
BACKGROUND

Inference-based extension activation may be provided. Extensions, add-ins and/or plug-ins activate during reading, editing or composing of documents such as e-mails, calendar items, contacts, tasks, documents, spreadsheets, etc. In conventional systems, the activation may occur on demand or automatically based on the content of the document in question. In some situations, the basic conditional activation using content substring matching or pattern-based content matching is insufficient for activation based on heuristic matching of document content and/or data from external sources.


SUMMARY

This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter. Neither is this Summary intended to be used to limit the claimed subject matter's scope.


Extension activation may be provided. A document may be opened within a software application associated with an extension. Upon determining that a data element associated with the document is associated with an activation condition of the extension, the extension may be activated.


Both the foregoing general description and the following detailed description provide examples and are explanatory only. Accordingly, the foregoing general description and the following detailed description should not be considered to be restrictive. Further, features or variations may be provided in addition to those set forth herein. For example, embodiments may be directed to various feature combinations and sub-combinations described in the detailed description.





BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate various embodiments of the present invention. In the drawings:



FIG. 1 is a block diagram of an operating environment;



FIG. 2 is a flow chart of a method for providing extension activation; and



FIG. 3 is a block diagram of a computing device.





DETAILED DESCRIPTION

The following detailed description refers to the accompanying drawings. Wherever possible, the same reference numbers are used in the drawings and the following description to refer to the same or similar elements. While embodiments of the invention may be described, modifications, adaptations, and other implementations are possible. For example, substitutions, additions, or modifications may be made to the elements illustrated in the drawings, and the methods described herein may be modified by substituting, reordering, or adding stages to the disclosed methods. Accordingly, the following detailed description does not limit the invention.


Inference-based extension activation may provide conditional activation of add-in application modules (e.g., plug-ins) that may be based on information inferred from the content of data within and/or external to the application. Such external data may comprise, for example, an external database, a web service, and/or another application. These extensions may expose additional functionality that the native application does not provide. Rather than being constantly available, however, as a menu bar might be, the extension may be visible to the user only when it is relevant to data that is displayed to the user. For example, a window displaying a map may appear when an e-mail message comprising a postal address is displayed.


The inference may utilize complex heuristic analysis of the content for extension activation. The external data sources may be used to provide additional extension activation criteria and/or inference data. For activation on heuristic analysis, a pre-processing component may perform content analysis out-of-band and save the result of the analysis as a meta-data and/or a property on the document. Later views of the document may use that analysis result to conditionally activate extensions. For example, a physical address in a user language may be detected, extracted and saved as a meta-data that way and later used to activate an extension that shows the location of that address using an internet mapping service.



FIG. 1 is a block diagram of an operating environment 100 for providing extension activation comprising a user workstation 110. User workstation 110 may comprise a data processing application 115 and may be operative to interact with a server 120 via a network 125. Data processing application 115 may comprise, for example, a word processing, spreadsheet, presentation and/or other productivity application. For example, user workstation 110 may be operative to connect to a multi-user collaboration application 130 provided by a server 120 that may receive and process user requests from user workstation 110. User workstation 110 may be operative to output application data and/or user interfaces to a display device 140, such as a monitor and/or touchscreen. User workstation 110 may comprise, for example, an electronic communications device such as a computer, laptop, cellular and/or IP phone, tablet, game console and/or other device. Data processing application 115 may be operative to utilize a local extension library 145 and/or a remote extension library 150.



FIG. 2 is a flow chart setting forth the general stages involved in a method 200 consistent with an embodiment of the invention for providing extension activation. Method 200 may be implemented using a computing device 300 as described in more detail below with respect to FIG. 3. Ways to implement the stages of method 200 will be described in greater detail below. Method 200 may begin at starting block 205 and proceed to stage 210 where computing device 300 may open a document within a software application. For example, user workstation 115 may instantiate data processing application 115. Data processing application 110 may be operative to access local extension library 145 and/or remote extension library 150 in order to provide additional functionality to the user of user workstation 110.


Method 200 may then advance to stage 220 where computing device 300 may create an inference according to at least one data element associated with the document. For example, the data element may be internal to the document, such as text, formatting, and/or meta-data. For another example, the data element may be external to the document, such as user permissions, group management and/or other information technology data, database entries, web pages, organization charts, and/or user profile data (e.g., geographic location, preferences, settings, job title, etc.).


The inference may comprise an intent assigned to the document, a heuristically learned association between the at least one data element and a task, a regular expression match on the at least one data element, and/or a format of the document. For intents, the document's text may be scanned to determine goals and/or tasks associated with the document, such as where an e-mail comprising a subject line and/or an attached document entitled “proposed agenda” may be associated with an intent of scheduling a meeting. A heuristically learned association may comprise, for example, receiving e-mails with particular terms (e.g., “service shutdown” and/or “error”) and/or from particular senders (e.g., a tech support mailing list) and correlating those e-mails with launching a trouble ticket management extension. Once this behavior has been seen some threshold of times, an inference may be created when the trigger condition terms and/or senders are received that the trouble ticket extension is associated with those trigger condition. Document formatting inferences may comprise, for example, recognizing an address block of a letter document and/or a signature block of an e-mail and associating those data elements with a contact management extension.


From stage 215, method 200 may advance to stage 220 where computing device 300 may determine whether the inference satisfies an activation condition of at least one of the plurality of extensions. For example, the inference may need to satisfy a criteria of the extension (e.g., the extension is only associated with e-mail document types) and a trigger condition (e.g., the e-mail message comprises a stock trade confirmation.)


If the inference is determined to satisfy the activation condition of at least one of the plurality of extensions, method 200 may advance to stage 225 where computing device 300 may activate the at least one of the plurality of extensions. For example, when an e-mail message comprising a stock trade confirmation is received, an inference that the e-mail is associated with a stock portfolio management extension may be created and the stock portfolio management extension may be launched, displaying a user interface element. For another example, a document comprising a package tracking number may cause an extension associated with the package carrier to display the package's current status. Method 200 may then end at stage 230.


An embodiment consistent with the invention may comprise a system for providing extension activation. The system may comprise a memory storage and a processing unit coupled to the memory storage. The processing unit may be operative to open a document within a software application associated with at least one extension, determine whether a data element associated with the document is associated with an activation condition of the at least one extension and, in response to determining that the document is associated with the activation condition of the at least one extension, activating the at least one extension. The data element may be stored in the document (e.g., text within the document and/or document formatting) and/or external to the document or application (e.g., a database, user/group management data, an org chart, user profile data).


Another embodiment consistent with the invention may comprise a system for providing extension activation. The system may comprise a memory storage and a processing unit coupled to the memory storage. The processing unit may be operative to instantiate a software application, wherein the software application is associated with a plurality of extensions, open a document comprising a plurality of data elements within the software application, determine whether at least one of the plurality of data elements is associated with an activation condition of at least one of the plurality of extensions, and in response to determining that the at least one of the plurality of data elements is associated with the activation condition of the at least one extension, activate the at least one extension, wherein the at least one extension provides a user interface element associated with the software application. The processing unit may be further operative to associate a new extension with the software application. For example, a user may develop a new extension and associate it with a software application developed by another company.


Yet another embodiment consistent with the invention may comprise a system for providing extension activation. The system may comprise a memory storage and a processing unit coupled to the memory storage. The processing unit may be operative to open a document within a software application associated with a plurality of extensions operative to provide additional functionality to the software application, create an inference according to at least one data element associated with the document, and determine whether the inference satisfies an activation condition of at least one of the plurality of extensions. Being operative to determine whether the inference satisfies the activation condition may comprise the processing unit being operative to match a criteria of the at least one extension and satisfying a trigger condition of the at least one extension. In response to determining that the inference satisfies the activation condition of at least one of the plurality of extensions, the processing unit may be operative to activate the at least one of the plurality of extensions, wherein being operative to activate the at least one of the plurality of extensions may comprise being operative to display a user interface element associated with the software application operative to provide at least one new data element.


The embodiments and functionalities described herein may operate via a multitude of computing systems, including wired and wireless computing systems, mobile computing systems (e.g., mobile telephones, tablet or slate type computers, laptop computers, etc.). In addition, the embodiments and functionalities described herein may operate over distributed systems, where application functionality, memory, data storage and retrieval and various processing functions may be operated remotely from each other over a distributed computing network, such as the Internet or an intranet. User interfaces and information of various types may be displayed via on-board computing device displays or via remote display units associated with one or more computing devices. For example user interfaces and information of various types may be displayed and interacted with on a wall surface onto which user interfaces and information of various types are projected. Interaction with the multitude of computing systems with which embodiments of the invention may be practiced include, keystroke entry, touch screen entry, voice or other audio entry, gesture entry where an associated computing device is equipped with detection (e.g., camera) functionality for capturing and interpreting user gestures for controlling the functionality of the computing device, and the like. FIG. 3 and the associated descriptions provide a discussion of a variety of operating environments in which embodiments of the invention may be practiced. However, the devices and systems illustrated and discussed with respect to FIG. 3 are for purposes of example and illustration and are not limiting of a vast number of computing device configurations that may be utilized for practicing embodiments of the invention, described herein.


With reference to FIG. 3, a system consistent with an embodiment of the invention may include a computing device, such as computing device 300. In a basic configuration, computing device 300 may include at least one processing unit 302 and a system memory 304. Depending on the configuration and type of computing device, system memory 304 may comprise, but is not limited to, volatile (e.g. random access memory (RAM)), non-volatile (e.g. read-only memory (ROM)), flash memory, or any combination. System memory 304 may include operating system 305, one or more programming modules 306, and may include data processing application 115. Operating system 305, for example, may be suitable for controlling computing device 300's operation. Furthermore, embodiments of the invention may be practiced in conjunction with a graphics library, other operating systems, or any other application program and is not limited to any particular application or system. This basic configuration is illustrated in FIG. 3 by those components within a dashed line 308.


Computing device 300 may have additional features or functionality. For example, computing device 300 may also include additional data storage devices (removable and/or non-removable) such as, for example, magnetic disks, optical disks, or tape. Such additional storage is illustrated in FIG. 3 by a removable storage 309 and a non-removable storage 310. Computing device 300 may also contain a communication connection 316 that may allow device 300 to communicate with other computing devices 318, such as over a network in a distributed computing environment, for example, an intranet or the Internet. Communication connection 316 is one example of communication media.


The term computer readable media as used herein may include computer storage media. Computer storage media may include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules, or other data. System memory 304, removable storage 309, and non-removable storage 310 are all computer storage media examples (i.e., memory storage.) Computer storage media may include, but is not limited to, RAM, ROM, electrically erasable read-only memory (EEPROM), flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store information and which can be accessed by computing device 300. Any such computer storage media may be part of device 300. Computing device 300 may also have input device(s) 312 such as a keyboard, a mouse, a pen, a sound input device, a touch input device, a capture device, etc. A capture device may be operative to record a user and capture spoken words, motions and/or gestures made by the user, such as with a camera and/or microphone. The capture device may comprise any speech and/or motion detection device capable of detecting the speech and/or actions of the user. For example, the capture device may comprise a Microsoft® Kinect® motion capture device comprising a plurality of cameras and a plurality of microphones. Output device(s) 314 such as a display, speakers, a printer, etc. may also be included. The aforementioned devices are examples and others may be used.


The term computer readable media as used herein may also include communication media. Communication media may be embodied by computer readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and includes any information delivery media. The term “modulated data signal” may describe a signal that has one or more characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media may include wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, radio frequency (RF), infrared, and other wireless media.


As stated above, a number of program modules and data files may be stored in system memory 304, including operating system 305. While executing on processing unit 302, programming modules 306 may perform processes and/or methods as described above. The aforementioned process is an example, and processing unit 302 may perform other processes. Other programming modules that may be used in accordance with embodiments of the present invention may include electronic mail and contacts applications, word processing applications, spreadsheet applications, database applications, slide presentation applications, drawing or computer-aided application programs, etc.


Generally, consistent with embodiments of the invention, program modules may include routines, programs, components, data structures, and other types of structures that may perform particular tasks or that may implement particular abstract data types. Moreover, embodiments of the invention may be practiced with other computer system configurations, including hand-held devices, multiprocessor systems, microprocessor-based or programmable consumer electronics, minicomputers, mainframe computers, and the like. Embodiments of the invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.


Furthermore, embodiments of the invention may be practiced in an electrical circuit comprising discrete electronic elements, packaged or integrated electronic chips containing logic gates, a circuit utilizing a microprocessor, or on a single chip containing electronic elements or microprocessors. Embodiments of the invention may also be practiced using other technologies capable of performing logical operations such as, for example, AND, OR, and NOT, including but not limited to mechanical, optical, fluidic, and quantum technologies. In addition, embodiments of the invention may be practiced within a general purpose computer or in any other circuits or systems.


Embodiments of the invention, for example, may be implemented as a computer process (method), a computing system, or as an article of manufacture, such as a computer program product or computer readable media. The computer program product may be a computer storage media readable by a computer system and encoding a computer program of instructions for executing a computer process. The computer program product may also be a propagated signal on a carrier readable by a computing system and encoding a computer program of instructions for executing a computer process. Accordingly, the present invention may be embodied in hardware and/or in software (including firmware, resident software, micro-code, etc.). In other words, embodiments of the present invention may take the form of a computer program product on a computer-usable or computer-readable storage medium having computer-usable or computer-readable program code embodied in the medium for use by or in connection with an instruction execution system. A computer-usable or computer-readable medium may be any medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.


The computer-usable or computer-readable medium may be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. More specific computer-readable medium examples (a non-exhaustive list), the computer-readable medium may include the following: an electrical connection having one or more wires, a portable computer diskette, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CD-ROM). Note that the computer-usable or computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.


Embodiments of the invention may be practiced via a system-on-a-chip (SOC) where each and/or many of the components illustrated above may be integrated onto a single integrated circuit. Such an SOC device may include one or more processing units, graphics units, communications units, system virtualization units and various application functionalities, all of which may be integrated (or “burned”) onto the chip substrate as a single integrated circuit. When operating via an SOC, the functionality, described herein, with respect to training and/or interacting with any component of operating environment 100 may operate via application-specific logic integrated with other components of the computing device/system on the single integrated circuit (chip).


Embodiments of the present invention, for example, are described above with reference to block diagrams and/or operational illustrations of methods, systems, and computer program products according to embodiments of the invention. The functions/acts noted in the blocks may occur out of the order as shown in any flowchart. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved.


While certain embodiments of the invention have been described, other embodiments may exist. Furthermore, although embodiments of the present invention have been described as being associated with data stored in memory and other storage mediums, data can also be stored on or read from other types of computer-readable media, such as secondary storage devices, like hard disks, floppy disks, or a CD-ROM, a carrier wave from the Internet, or other forms of RAM or ROM. Further, the disclosed methods' stages may be modified in any manner, including by reordering stages and/or inserting or deleting stages, without departing from the invention.


All rights including copyrights in the code included herein are vested in and the property of the Applicants. The Applicants retain and reserve all rights in the code included herein, and grant permission to reproduce the material only in connection with reproduction of the granted patent and for no other purpose.


While certain embodiments of the invention have been described, other embodiments may exist. While the specification includes examples, the invention's scope is indicated by the following claims. Furthermore, while the specification has been described in language specific to structural features and/or methodological acts, the claims are not limited to the features or acts described above. Rather, the specific features and acts described above are disclosed as example for embodiments of the invention.

Claims
  • 1. A computer readable hardware storage device which stores a set of instructions which when executed performs a method for providing extension activation, the method executed by the set of instructions comprising: opening a document within a software application, wherein the software application is associated with a plurality of extensions operative to provide additional functionality to the software application;creating an inference according to at least one data element associated with the document, wherein the at least one data element comprises at least one of the following: a data element internal to the document and a data element external to the document and wherein the inference comprises at least one of the following: an intent assigned to the document, a regular heuristically learned association between the at least one data element and a task, an expression match on the at least one data element, and a format of the document;determining whether the inference satisfies an activation condition of at least one of the plurality of extensions, wherein determining whether the inference satisfies the activation condition comprises matching a criteria of the at least one extension and satisfying a trigger condition of the at least one extension; andin response to determining that the inference satisfies the activation condition of at least one of the plurality of extensions, activating the at least one of the plurality of extensions, wherein activating the at least one of the plurality of extensions comprises displaying a user interface element associated with the software application operative to provide at least one new data element.
  • 2. A method for providing extension activation, the method comprising: opening a document within a software application, wherein the software application is associated with a plurality of extensions operative to provide additional functionality to the software application;creating an inference according to at least one data element associated with the document wherein the inference comprises at least one of the following: an intent assigned to the document, a regular heuristically learned association between the at least one data element and a task, an expression match on the at least one data element, and a format of the document;determining whether the inference satisfies an activation condition of at least one of the plurality of extensions, wherein determining whether the inference satisfies the activation condition comprises matching a criteria of the at least one extension and satisfying a trigger condition of the at least one extension; andin response to determining that the inference satisfies the activation condition of the at least one of the plurality of extensions, activating, by a computing device, the at least one of the plurality of extensions, wherein activating the at least one of the plurality of extensions comprises displaying a user interface element associated with the software application operative to provide at least one new data element.
  • 3. The method of claim 2, wherein creating the inference according to the at least one data element comprises creating the inference according to the at least one data element wherein the at least one data element comprises a data element internal to the document.
  • 4. The method of claim 2, wherein creating the inference according to the at least one data element comprises creating the inference according to the at least one data element wherein the at least one data element comprises a data element external to the document.
  • 5. A system for providing extension activation, the system comprising: a memory storage; anda processing unit coupled to the memory storage, wherein the processing unit is operable to: open a document within a software application, wherein the software application is associated with a plurality of extensions operative to provide additional functionality to the software application,create an inference according to at least one data element associated with the document, wherein the inference comprises at least one of the following: an intent assigned to the document, a regular heuristically learned association between the at least one data element and a task, an expression match on the at least one data element, and a format of the document,determine whether the inference satisfies an activation condition of at least one of the plurality of extensions wherein the processing unit being operable to determine whether the inference satisfies the activation condition comprises the processing unit being operable to match a criteria of the at least one extension and satisfying a trigger condition of the at least one extension, andactivate the at least one of the plurality of extensions in response to determining that the inference satisfies the activation condition of the at least one of the plurality of extensions wherein the processing unit being operable to activate the at least one of the plurality of extensions comprises the processing unit being operable to display a user interface element associated with the software application operative to provide at least one new data element.
  • 6. The system of claim 5, wherein the at least one data element comprises a data element internal to the document.
  • 7. The system of claim 5, wherein the at least one data element comprises a data element external to the document.
US Referenced Citations (116)
Number Name Date Kind
5349658 O'Rourke et al. Sep 1994 A
5877757 Baldwin et al. Mar 1999 A
5986657 Berteig et al. Nov 1999 A
6292889 Fitzgerald et al. Sep 2001 B1
6408336 Schneider et al. Jun 2002 B1
6449643 Hyndman et al. Sep 2002 B1
6530075 Beadle et al. Mar 2003 B1
6697942 L'Heureux et al. Feb 2004 B1
6754896 Mishra et al. Jun 2004 B2
6785867 Shaffer et al. Aug 2004 B2
7000230 Murray et al. Feb 2006 B1
7136843 Bigus et al. Nov 2006 B2
7219234 Ashland et al. May 2007 B1
7233792 Chang Jun 2007 B2
7243336 Brockway et al. Jul 2007 B2
7284191 Grefenstette et al. Oct 2007 B2
7333956 Malcolm Feb 2008 B2
7360167 Hennum et al. Apr 2008 B2
7506263 Johnston et al. Mar 2009 B1
7529804 Lu et al. May 2009 B1
7707257 Taieb et al. Apr 2010 B2
7765212 Surendran et al. Jul 2010 B2
7779027 James et al. Aug 2010 B2
7861167 Fernando et al. Dec 2010 B2
7912822 Bethlehem et al. Mar 2011 B2
8010613 Oral et al. Aug 2011 B2
8024412 McCann et al. Sep 2011 B2
8074217 James et al. Dec 2011 B2
8220007 Yeh et al. Jul 2012 B1
8250518 Averett et al. Aug 2012 B2
8255280 Kay et al. Aug 2012 B1
8275356 Hickie Sep 2012 B2
8429286 Pantos Apr 2013 B2
8826455 Julisch Sep 2014 B2
8843822 Claux et al. Sep 2014 B2
20020059347 Shaffer et al. May 2002 A1
20020103824 Koppolu et al. Aug 2002 A1
20020171671 Bou et al. Nov 2002 A1
20030126592 Mishra et al. Jul 2003 A1
20030196172 Bates et al. Oct 2003 A1
20040034860 Fernando et al. Feb 2004 A1
20040059813 Bolder et al. Mar 2004 A1
20040117799 Brockway et al. Jun 2004 A1
20040119745 Bartek et al. Jun 2004 A1
20050033728 James et al. Feb 2005 A1
20050091184 Seshadri et al. Apr 2005 A1
20050144318 Chang Jun 2005 A1
20050188174 Guzak et al. Aug 2005 A1
20050229104 Franco et al. Oct 2005 A1
20050289113 Bookstaff Dec 2005 A1
20050289535 Murray et al. Dec 2005 A1
20060004739 Anthony et al. Jan 2006 A1
20060036725 Chand Feb 2006 A1
20060036965 Harris et al. Feb 2006 A1
20060069836 Seo et al. Mar 2006 A1
20060101053 Proctor May 2006 A1
20060155812 Looman Jul 2006 A1
20060168136 Bethlehem et al. Jul 2006 A1
20060173859 Kim et al. Aug 2006 A1
20060195575 Delany et al. Aug 2006 A1
20060218488 Shah et al. Sep 2006 A1
20070061401 Bodin et al. Mar 2007 A1
20070094408 Gundla et al. Apr 2007 A1
20070136603 Kuecuekyan Jun 2007 A1
20070156897 Lim Jul 2007 A1
20070156913 Miyamoto et al. Jul 2007 A1
20070226204 Feldman Sep 2007 A1
20070233791 Sylthe et al. Oct 2007 A1
20070240098 Averett et al. Oct 2007 A1
20070244987 Pedersen et al. Oct 2007 A1
20070261066 Miyamoto et al. Nov 2007 A1
20080109448 Aboel-Nil et al. May 2008 A1
20080134162 James et al. Jun 2008 A1
20080155555 Kwong Jun 2008 A1
20080189360 Kiley et al. Aug 2008 A1
20080244440 Bailey et al. Oct 2008 A1
20080244443 Schaw et al. Oct 2008 A1
20080294730 Oral et al. Nov 2008 A1
20080307046 Baek et al. Dec 2008 A1
20090006201 Faseler, Jr. Jan 2009 A1
20090044146 Patel et al. Feb 2009 A1
20090094332 Schemers et al. Apr 2009 A1
20090150981 Amies et al. Jun 2009 A1
20090164427 Shields et al. Jun 2009 A1
20090193444 Clark et al. Jul 2009 A1
20090210800 McCann et al. Aug 2009 A1
20090265139 Klein et al. Oct 2009 A1
20090265330 Cheng et al. Oct 2009 A1
20090300597 George et al. Dec 2009 A1
20090307652 Maybee et al. Dec 2009 A1
20090313554 Haynes et al. Dec 2009 A1
20090319911 McCann et al. Dec 2009 A1
20090327352 Thomas et al. Dec 2009 A1
20100011352 Chu et al. Jan 2010 A1
20100153915 Schneider Jun 2010 A1
20100262557 Ferreira et al. Oct 2010 A1
20100287525 Wagner Nov 2010 A1
20110029988 Mittal et al. Feb 2011 A1
20110072352 Tanner et al. Mar 2011 A1
20110087984 Jitkoff et al. Apr 2011 A1
20110093801 Koyama et al. Apr 2011 A1
20110113450 Sharma et al. May 2011 A1
20110145749 Sailor et al. Jun 2011 A1
20110154312 Balko et al. Jun 2011 A1
20110209159 Baratz et al. Aug 2011 A1
20110289056 Xue et al. Nov 2011 A1
20120005155 Lynch et al. Jan 2012 A1
20120023421 Demant et al. Jan 2012 A1
20120084644 Robert et al. Apr 2012 A1
20120094719 Choi et al. Apr 2012 A1
20120144282 Loeb et al. Jun 2012 A1
20130076598 Sirpal et al. Mar 2013 A1
20130185362 Clagg et al. Jul 2013 A1
20130198623 Claux et al. Aug 2013 A1
20130198627 Claux et al. Aug 2013 A1
20130198647 Claux et al. Aug 2013 A1
Non-Patent Literature Citations (37)
Entry
Majid, et al., “NaCIN—An Eclipse Plug-In for Program Navigation-based Concern Inference”, In Proceedings of the OOPSLA Workshop on Eclipse Technology eXchange, Oct. 16, 2005, pp. 70-74.
“Spam Filter”, Retrieved on: Sep. 26, 2011, Available at: http://www.esoft.com/network-security-appliances/add-ons/spamfilter/.
U.S. Appl. No. 13/361,097, filed Jan. 30, 2012, entitled “Extension Activation for Related Documents”.
U.S. Appl. No. 13/361,140, filed Jan. 30, 2012, entitled “Dynamic Extension View With Multiple Levels of Expansion”.
U.S. Appl. No. 13/361,219, filed Jan. 30, 2012, entitled “Intelligent Prioritization of Activated Extensions”.
U.S. Appl. No. 13/351,310, filed Jan. 17, 2012, entitled “Installation and Management of client Extensions”.
“Changes in Outlook 2010”, Retrieved on: Oct. 10, 2011, Available at: http://technet.microsoft.com/en-us/library/cc179110.aspx.
“Extension Plug-ins for Processing Messages”, Retrieved on: Oct. 10, 2011, Available at: http://docs.blackberry.com/en/admin/deliverables/25767/Ext—plugins—for—processing—msgs—595319—11.jsp.
“Glovia G2 Web Client—Full Windows Graphical user Interface Client within any Browser Supporting ActiveX” Retrieved on: Oct. 10, 2011, Available at: http://www.glovia.com/pdf/datasheets/GloviaWebClient.pdf.
“Gmail Contextual Gadgets Developer's Guide”, Retrieved on: Oct. 17, 2011, Available at: http://code.google.com/apis/gmail/gadgets/contextual/.
“Installing Content Collector Notes Client Extension in Silent Mode”, Retrieved on: Oct. 10, 2011, Available at: http://publib.boulder.ibm.com/infocenter/email/v2r2m0/index.jsp?topic=%2Fcom.ibm.content.collector.doc%2Finstalling%2Ft—afu—install—nce—silent.htm.
“Manage Windows and Panels”, Retrieved on: Oct. 10, 2011, Available at: http://help.adobe.com/en—US/InDesign/6.0/WS8599BC5C-3E44-406c-9288-C3B3BBEB5E88.html.
“RSEMCE—235677.EXE—Remote Storage for Exchange v2.0 Mail Client Extension Install”, Retrieved on: Oct. 10, 2011, Available at: http://www.symantec.com/business/support/index?page=content&pmv=print&impressions=&viewlocale=&id=TECH10485.
“Thunderbird Email Thread Visualizer”, Published on: Oct. 11, 2011, Available at: http://www.ghacks.net/2009/08/13/thunderbird-email-thread-visualizer/.
“Window Layout—Thunderbird”, Retrieved on: Oct. 7, 2011, Available at: http://kb.mozillazine.org/Window—layout—-—Thunderbird.
Aery, et al., “eMailSift: Email Classification Based on Structure and Content”, In Proceedings of the Fifth IEEE International Conference on Data Mining, Nov. 27-30, 2005, pp. 18-25.
Bekkerman, et al., “Automatic Categorization of Email into Folders: Benchmark Experiments on Enron and SRI Corpora”, In CIIR Technical Report IR-418, University of Massachusetts, 2004, pp. 1-23.
Bykov, Vassili, “Hopscotch: Towards User Interface Composition”, In Proceedings of International Workshop on Advanced Software Development Tools and Techniques, Jul. 2008, 9 pages.
Dejean, et al., “What's new in IBM Lotus Notes and Domino V8”, Published on: Mar. 20, 2007, Available at: http://www.ibm.com/developerworks/lotus/library/notes8-new/.
International Search Report and Written Opinion for PCT/US2012/066691 mailed Feb. 28, 2013.
Nedos, et al., “LATTE: Location and Time Triggered Email”, In Proceedings of the International Conference on Pervasive Computing and Communications, Jun. 21-24, 2004, pp. 813-819.
Rohall, et al., “Email Visualizations to Aid Communications”, In Proceedings of Late-Breaking Hot Topics, IEEE Symposium on Information Visualization, Oct. 2011, pp. 12-15.
International Search Report and Written Opinion for PCT/US2013/020915 mailed Apr. 23, 2013, 10 pgs.
International Search Report and Written Opinion for PCT/US2013/022823 mailed May 10, 2013, 10 pgs.
International Search Report and Written Opinion for PCT/US2013/022826 mailed May 10, 2013, 11 pgs.
International Search Report and Written Opinion for PCT/US2013/022615 mailed May 16, 2013, 9 pgs.
U.S. Office Action dated Jul. 16, 2013 cited in U.S. Appl. No. 13/361,140, 22 pgs.
U.S. Office Action dated Sep. 10, 2013 cited in U.S. Appl. No. 13/361,219, 33 pgs.
U.S. Office Action dated Aug. 13, 2013 cited in U.S. Appl. No. 13/351,310, 36 pgs.
Rex Thexton et al., “A Role-Based Approach to Automated Provisioning and Personalized Portals,” Jan. 2011, 7 pgs., http://www.oracle.com/technetwork/articles/role-based-automated-provisioning-213244.html.
U.S. Office Action dated Jan. 14, 2014 cited in U.S. Appl. No. 13/361,097, 18 pgs.
U.S. Final Office Action dated Feb. 19, 2014 cited in U.S. Appl. No. 13/361,140, 32 pgs.
U.S. Final Office Action dated Mar. 3, 2014 cited in U.S. Appl. No. 13/361,219, 22 pgs.
U.S. Final Office Action dated Jun. 4, 2014 cited in U.S. Appl. No. 13/361,097, 27 pgs.
U.S. Office Action dated Oct. 6, 2014 cited in U.S. Appl. No. 13/361,140, 35 pgs.
U.S. Office Action dated Dec. 18, 2014 cited in U.S. Appl. No. 13/351,310, 59 pgs.
U.S. Office Action dated Dec. 22, 2014 cited in U.S. Appl. No. 13/361,097, 31 pgs.
Related Publications (1)
Number Date Country
20130151942 A1 Jun 2013 US